A Sample Size Table for Forest Sampling
This paper presents a sample size table for forest sampling which expresses sample size as a function of coefficient of variation and percentage sampling error. Sample sizes are calculated using iteration on a formula for simple random sampling. The iterative algorithm commonly used in forestry to calculate sample size is demonstrated to not always converge. A corrected iteration scheme is described and used to construct the table. Examples are included for illustration. Forest Sci. 28:777-784.
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Document Type: Journal Article
Affiliations: Senior Biometrician for the Research Branch of the British Columbia Ministry of Forests
Publication date: 1982-12-01
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
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